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Machine Learning Engineer Remote Sensing Jobs (NOW HIRING)

ManTech International

Machine Learning Engineer

$128K - $214K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Compunnel

Machine Learning Engineer

Freeport, ME · Remote

Freeport Maine Remote Must haves: * 4+ years ML experience * Python / Spark * Tensorflow / PyTorch (or similar) * Databricks * MLflow * Docker * SQL * Design and implement machine learning models and ...

Codertal

Machine Learning Engineer

Union, NJ · Remote

Remote - European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role Codertal is seeking a talented Machine Learning Engineer to join our growing AI and data science ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Required Skills: * 5+ years of experience in ML Engineering or Applied Machine Learning. * Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch ...

BlackSky

Staff SW Engineer, Machine Learning

Staff SW Engineer, Machine Learning About Us: BlackSky is a real-time intelligence company. We own ... Experience working with remote sensing data, ideally satellite imagery. * Experience with cloud ...

Sunergi Inc

$110K - $140K/yr

The Machine Learning Engineer role is all about building, recruiting, management, internal communication and delivery - getting the product out the door, while ensuring the team is hitting their mark.

Apex Informatics

Machine Learning Engineer

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production ...

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Machine Learning Engineer Remote Sensing information

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$75K

$167.4K

$205K

How much do machine learning engineer remote sensing jobs pay per year?

As of Jun 5, 2026, the average yearly pay for machine learning engineer remote sensing in the United States is $167,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer Remote Sensing vs Data Scientist Remote Sensing?

AspectMachine Learning Engineer Remote SensingData Scientist Remote Sensing
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops ML models for remote sensing data, often in tech or research labsAnalyzes remote sensing datasets to extract insights, often in research or environmental agencies
Employer & Industry UsageTech companies, environmental agencies, aerospace firmsResearch institutions, government agencies, environmental consultancies

While both roles work with remote sensing data, Machine Learning Engineers focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What are some common challenges faced by Machine Learning Engineers working with remote sensing data?

Machine Learning Engineers in remote sensing frequently encounter challenges such as handling large volumes of high-dimensional data and dealing with inconsistencies caused by sensor noise or atmospheric interference. Additionally, remote sensing datasets often require significant preprocessing and annotation, which can be time-consuming and technically demanding. Collaborating with domain experts, such as geospatial analysts or climate scientists, is crucial to ensure models are accurately interpreting the data. Staying updated with advancements in both machine learning and remote sensing hardware can also be essential for continued success in this rapidly evolving field.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Remote Sensing, and why are they important?

To thrive as a Machine Learning Engineer in Remote Sensing, you need a solid background in computer science, mathematics, and remote sensing concepts, often evidenced by a relevant degree and experience in data analysis. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with geospatial data tools (e.g., GDAL, QGIS) or cloud platforms are typically required. Strong problem-solving, collaboration, and communication skills help you effectively interpret complex data and work within multidisciplinary teams. These skills ensure accurate model development, efficient processing of remote sensing data, and actionable insights for real-world applications.

What does a Machine Learning Engineer in Remote Sensing do?

A Machine Learning Engineer in Remote Sensing develops algorithms and models to analyze data collected from satellite, aerial, or drone sensors. Their work involves processing large volumes of imagery or sensor data to extract valuable insights, such as detecting land cover changes, mapping natural resources, or monitoring environmental conditions. They collaborate with data scientists, GIS specialists, and domain experts to design solutions that automate the interpretation of complex geospatial datasets. The role often requires expertise in machine learning, image processing, and remote sensing technologies.
Infographic showing various Machine Learning Engineer Remote Sensing job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $167,438 per year, or $80.5 per hour.
Machine Learning Engineer - Remote

Machine Learning Engineer - Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$110K - $166K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Job Description
The ML Engineer is responsible for the overall development, deployment, and support of our machine learning operations Harbor Freight. This includes the architecture and implementation of tools for model training, model monitoring, feature stores, model deployments, and model maintenance.
This role requires working with multiple levels of the organization, data science teams, application teams, security, software engineering, and business partners. It requires an experienced machine learning engineer with excellent business acumen, very strong technical skills, and data modeling / data warehousing expertise.
This position is technical and analytical in nature.
Duties and Responsibilities
  • Work closely with data scientists and IT in the development and implementation of our Enterprise AI platform.
  • Build and maintain an industry leading MLOps tech stack.
  • Mentor data scientists within the business, ensuring we're building best-in-class models.
  • Optimize the scalability, performance, and reliability of our models by implementing best practices and leveraging industry-standard technologies.
  • Streamline data ingestion, pre-processing, feature engineering, and model training workflows to improve efficiency and reduce latency.
  • Design, build, and maintain a secure and scalable CI/CD framework for data science teams.

Scope
  • Staff supervision and development: No
  • Decision making: Recommends policy and resolves problems
  • Travel: Up to 5%
  • Flex Designation: Anywhere

The anticipated salary range for this position is $110,800 - $166,100 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.
Requirements
Education and Experience
Education Requirements
  • Bachelor's in Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • Master's degree or Ph.D. is a plus.

Years of Experience
  • 2-4 years experience as ML engineer or data scientist in a Big Data ecosystem, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
  • 2-4 years experience developing, tuning, operationalizing, and monitoring enterprise ML models at scale.
  • 2-4 years experience with public cloud platforms & systems (AWS, GCP, Azure).

Skills
  • Strong knowledge of distributed computing, data structures, data mapping, data warehouse, data mining, business analytics, software development, replication, and distributed/relational databases.
  • Strong technical expertise in scripting (Python) database languages (SQL), and PySpark for model development.
  • Excellent time management and planning skills, organized with the ability to multi-task, exceptional follow-up skills and able to meet deadlines.
  • Excellent written, oral, and interpersonal communication skills, with ability to communicate effectively.
  • Experience to tracking projects and goals to successful completion (with visible metrics).
  • Ability to stay abreast of significant technological developments that may impact the business.
  • Equipped to effectively prioritize, collaborate and excel in a fast-paced, high-pressure environment.
  • Highly self-motivated, self-directed, and attentive to detail, with an emphasis on accuracy, detail, and timeliness.
  • Understanding and experience with project management methodologies.
  • Ability to manage multiple projects concurrently.

Physical Requirements
General office environment requiring ability to:
  • Stand, walk, sit for extended periods of time.
  • Speak and listen to others in person and over the phone and video conferencing.
  • Use keyboard and read from computer screen and reports.
  • The ability to lift up to 15 lbs.

Safety
  • Must be able to perform this job safely in accordance with standard operating procedures and good manufacturing practices, without endangering the health or safety of self or others.

About Harbor Freight Tools
We're a 45 year-old, $8 billion national tool retailer with the energy, enthusiasm, and growth potential of a start-up. We have over 1,600 stores in 48 states across the country and are opening several new locations every week. We offer our customers more than 7,000 tools and accessories, from hand tools and generators to air and power tools, from shop equipment to automotive tools. We provide our customers with the right tool for the right job at the right price, always delivering quality and value.

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